I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A Multi-Scale Guided Cascade Hourglass Network for Depth Co..:
, In:
2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
,
Li, Ang
;
Yuan, Zejian
;
Ling, Yonggen
... - p. 32-40 , 2020
Link:
https://doi.org/10.1109/WACV45572.2020.9093407
RT T1
2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
: T1
A Multi-Scale Guided Cascade Hourglass Network for Depth Completion
UL https://suche.suub.uni-bremen.de/peid=ieee-9093407&Exemplar=1&LAN=DE A1 Li, Ang A1 Yuan, Zejian A1 Ling, Yonggen A1 Chi, Wanchao A1 Zhang, Shenghao A1 Zhang, Chong YR 2020 SN 2642-9381 K1 Feature extraction K1 Convolution K1 Color K1 Estimation K1 Task analysis K1 Computer architecture K1 Image resolution SP 32 OP 40 LK http://dx.doi.org/https://doi.org/10.1109/WACV45572.2020.9093407 DO https://doi.org/10.1109/WACV45572.2020.9093407 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)